Publicação: Modeling the impact of child vaccination (5–11 y) on overall COVID-19 related hospitalizations and mortality in a context of omicron variant predominance and different vaccination coverage paces in Brazil
dc.contributor.author | Müller, Gabriel Cardozo | |
dc.contributor.author | Ferreira, Leonardo Souto [UNESP] | |
dc.contributor.author | Mesias Campos, Felipe Ernesto | |
dc.contributor.author | Borges, Marcelo Eduardo | |
dc.contributor.author | Berg de Almeida, Gabriel [UNESP] | |
dc.contributor.author | Poloni, Silas [UNESP] | |
dc.contributor.author | Simon, Lorena Mendes | |
dc.contributor.author | Bagattini, Ângela Maria | |
dc.contributor.author | Quarti, Michelle | |
dc.contributor.author | Felizola Diniz Filho, José Alexandre | |
dc.contributor.author | Kraenkel, Roberto André [UNESP] | |
dc.contributor.author | Coutinho, Renato Mendes | |
dc.contributor.author | Camey, Suzi Alves | |
dc.contributor.author | Kuchenbecker, Ricardo de Souza | |
dc.contributor.author | Toscano, Cristiana Maria | |
dc.contributor.institution | Universidade Federal do Rio Grande do Sul | |
dc.contributor.institution | Observatório Covid-19 | |
dc.contributor.institution | Universidade Estadual Paulista (UNESP) | |
dc.contributor.institution | Universidade de São Paulo (USP) | |
dc.contributor.institution | Universidade Federal de Goiás (UFG) | |
dc.contributor.institution | Universidade Federal do ABC (UFABC) | |
dc.contributor.institution | Hospital de Clínicas de Porto Alegre | |
dc.date.accessioned | 2023-07-29T13:28:54Z | |
dc.date.available | 2023-07-29T13:28:54Z | |
dc.date.issued | 2023-01-01 | |
dc.description.abstract | Background: Developing countries have experienced significant COVID-19 disease burden. With the emergence of new variants, particularly omicron, the disease burden in children has increased. When the first COVID-19 vaccine was approved for use in children aged 5–11 years of age, very few countries recommended vaccination due to limited risk-benefit evidence for vaccination of this population. In Brazil, ranking second in the global COVID-19 death toll, the childhood COVID-19 disease burden increased significantly in early 2022. This prompted a risk-benefit assessment of the introduction and scaling-up of COVID-19 vaccination of children. Methods: To estimate the potential impact of vaccinating children aged 5–11 years with mRNA-based COVID-19 vaccine in the context of omicron dominance, we developed a discrete-time SEIR-like model stratified in age groups, considering a three-month time horizon. We considered three scenarios: No vaccination, slow, and maximum vaccination paces. In each scenario, we estimated the potential reduction in total COVID-19 cases, hospitalizations, deaths, hospitalization costs, and potential years of life lost, considering the absence of vaccination as the base-case scenario. Findings: We estimated that vaccinating at a maximum pace could prevent, between mid-January and April 2022, about 26,000 COVID-19 hospitalizations, and 4200 deaths in all age groups; of which 5400 hospitalizations and 410 deaths in children aged 5–11 years. Continuing vaccination at a slow/current pace would prevent 1450 deaths and 9700 COVID-19 hospitalizations in all age groups in this same time period; of which 180 deaths and 2390 hospitalizations in children only. Interpretation: Maximum vaccination of children results in a significant reduction of COVID-19 hospitalizations and deaths and should be enforced in developing countries with significant disease incidence in children. Funding: This manuscript was funded by the Brazilian Council for Scientific and Technology Development (CNPq – Process # 402834/2020-8). | en |
dc.description.affiliation | Programa de Pós-graduação em Epidemiologia Faculdade de Medicina Universidade Federal do Rio Grande do Sul, RS | |
dc.description.affiliation | Observatório Covid-19 | |
dc.description.affiliation | Instituto de Física Teórica Universidade Estadual Paulista, SP | |
dc.description.affiliation | Programa de Pós-Graduação em Ecologia Instituto de Biociências Universidade de São Paulo, SP | |
dc.description.affiliation | Departamento de Infectologia Faculdade de Medicina de Botucatu Universidade Estadual Paulista | |
dc.description.affiliation | Departamento de Ecologia Instituto de Ciências Biológicas Universidade Federal de Goiás, GO | |
dc.description.affiliation | Departamento de Saúde Coletiva Instituto de Patologia Tropical e Saúde Pública Universidade Federal de Goiás, GO | |
dc.description.affiliation | Centro de Matemática Computação e Cognição Universidade Federal do ABC, SP | |
dc.description.affiliation | Instituto de Matemática e Estatística Departamento de Estatística Universidade Federal do Rio Grande do Sul, RS | |
dc.description.affiliation | Hospital de Clínicas de Porto Alegre, RS | |
dc.description.affiliationUnesp | Instituto de Física Teórica Universidade Estadual Paulista, SP | |
dc.description.affiliationUnesp | Departamento de Infectologia Faculdade de Medicina de Botucatu Universidade Estadual Paulista | |
dc.description.sponsorship | Pan American Health Organization | |
dc.description.sponsorship | Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) | |
dc.description.sponsorship | World Health Organization | |
dc.description.sponsorshipId | CNPq: 402834/2020-8 | |
dc.description.sponsorshipId | World Health Organization: CON21-00014067 | |
dc.identifier | http://dx.doi.org/10.1016/j.lana.2022.100396 | |
dc.identifier.citation | Lancet Regional Health - Americas, v. 17. | |
dc.identifier.doi | 10.1016/j.lana.2022.100396 | |
dc.identifier.issn | 2667-193X | |
dc.identifier.scopus | 2-s2.0-85142003873 | |
dc.identifier.uri | http://hdl.handle.net/11449/247896 | |
dc.language.iso | eng | |
dc.relation.ispartof | Lancet Regional Health - Americas | |
dc.source | Scopus | |
dc.subject | Children | |
dc.subject | COVID-19 vaccines | |
dc.subject | Infectious disease modeling | |
dc.subject | SARS-CoV-2 variants | |
dc.subject | Vaccination | |
dc.title | Modeling the impact of child vaccination (5–11 y) on overall COVID-19 related hospitalizations and mortality in a context of omicron variant predominance and different vaccination coverage paces in Brazil | en |
dc.type | Artigo | |
dspace.entity.type | Publication | |
unesp.author.orcid | 0000-0001-6707-5996[1] | |
unesp.campus | Universidade Estadual Paulista (UNESP), Instituto de Física Teórica (IFT), São Paulo | pt |